{"id":"W4411582637","doi":"10.46292/sci24-00042","title":"Systematic Search and Modified e-Delphi Consensus for Serum Bone Biomarkers in Humans and Animal Models with SCI: Methodology","year":2025,"lang":"en","type":"review","venue":"Topics in Spinal Cord Injury Rehabilitation","topic":"Spinal Cord Injury Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women and Children’s Health Research Institute; University of Alberta; Research Institute for Aging; University of British Columbia, Okanagan Campus; International Collaboration On Repair Discoveries; University of British Columbia; Research Manitoba; University of Manitoba; Institute for Work & Health; University Health Network; University of Toronto; University of Waterloo; Toronto Rehabilitation Institute; Institute of Health Services and Policy Research","funders":"","keywords":"Medicine; Delphi method; Animal model; Delphi; Medical physics; Internal medicine; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2864548,0.003433157,0.009708109,0.02689051,0.002831587,0.004832617,0.00616141,0.006211977,0.01830463],"category_scores_gemma":[0.36291,0.003443624,0.01229726,0.01672607,0.003986263,0.005607239,0.01225413,0.003366595,0.002889536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01030352,"about_ca_system_score_gemma":0.05670786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00564201,"about_ca_topic_score_gemma":0.007745778,"domain_scores_codex":[0.6608817,0.1920597,0.1155272,0.01186145,0.01560823,0.004061731],"domain_scores_gemma":[0.6155966,0.2766928,0.0273673,0.01992793,0.05756146,0.002853932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001821283,0.0001208383,0.002781051,0.7730131,0.004600586,0.0009311711,0.02211465,0.001833567,0.001545141,0.008047992,0.02567521,0.1575153],"study_design_scores_gemma":[0.005018339,0.0009127702,0.006954441,0.7380393,0.01313787,0.0007066369,0.01590066,0.003084823,0.002039619,0.02650304,0.1871025,0.0005999858],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"methods","genre_scores_codex":[0.0152431,0.04523497,0.08201522,0.01379709,0.001717335,0.8156486,0.0165946,0.000750472,0.008998555],"genre_scores_gemma":[0.02597916,0.01035796,0.07733402,0.003165548,0.0001423678,0.8794414,0.002575768,0.00008376495,0.0009199525],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2864548,"threshold_uncertainty_score":0.8799283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2182737248828346,"score_gpt":0.4946496650264163,"score_spread":0.2763759401435817,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}